This is the GGUF format quantized version of the arshiaafshani/arshGpt model, quantized by machines provided by TensorBlock and compatible with llama.cpp. It offers multiple quantization levels from Q2_K to Q8_0 to meet the performance and quality requirements of different scenarios.

Natural Language ProcessingTransformers

Arsh-llm is a language model with 50 million parameters based on the Llama architecture, excelling at generating creative stories, coherent texts, and practical code.

Natural Language ProcessingTransformersEnglish

A 500-million-parameter text generation model based on the Llama architecture, specifically designed for story creation.

Natural Language ProcessingTransformers

A large language model developed based on the GPT-2 architecture, focusing on research assistance functions, trained under limited hardware conditions

Natural Language ProcessingTransformers

Transformers is an open-source library developed by Hugging Face, providing various pretrained models for natural language processing tasks.

Natural Language ProcessingTransformers

Arsh LLM is an open-source large language model designed for research, pretrained on the olmo mixed dataset using a T4 GPU, with a total training time of approximately 4-5 days.

Natural Language ProcessingPytorch

AASL is an image classification model based on the Creative Commons license, suitable for visual tasks.

Computer VisionTransformers

ArSL VIT is an image classification model based on the Vision Transformer (VIT) architecture, specifically designed for Arabic sign language recognition tasks.

Computer VisionTransformers